The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities
Identifieur interne : 000519 ( Ncbi/Checkpoint ); précédent : 000518; suivant : 000520The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities
Auteurs : Girish Neelakanta ; Hameeda SultanaSource :
- Microbiology Insights [ 1178-6361 ] ; 2013.
Abstract
Microbes are the most abundant biological entities found in the biosphere. Identification and measurement of microorganisms (including viruses, bacteria, archaea, fungi, and protists) in the biosphere cannot be readily achieved due to limitations in culturing methods. A non-culture based approach, called “metagenomics”, was developed that enabled researchers to comprehensively analyse microbial communities in different ecosystems. In this study, we highlight recent advances in the field of metagenomics for analyzing microbial communities in different ecosystems ranging from oceans to the human microbiome. Developments in several bioinformatics approaches are also discussed in context of microbial metagenomics that include taxonomic systems, sequence databases, and sequence-alignment tools. In summary, we provide a snapshot for the recent advances in metagenomics approach for analyzing changes in the microbial communities in different ecosystems.
Url:
DOI: 10.4137/MBI.S10819
PubMed: 24826073
PubMed Central: 3987754
Affiliations:
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<front><div type="abstract" xml:lang="en"><p>Microbes are the most abundant biological entities found in the biosphere. Identification and measurement of microorganisms (including viruses, bacteria, archaea, fungi, and protists) in the biosphere cannot be readily achieved due to limitations in culturing methods. A non-culture based approach, called “metagenomics”, was developed that enabled researchers to comprehensively analyse microbial communities in different ecosystems. In this study, we highlight recent advances in the field of metagenomics for analyzing microbial communities in different ecosystems ranging from oceans to the human microbiome. Developments in several bioinformatics approaches are also discussed in context of microbial metagenomics that include taxonomic systems, sequence databases, and sequence-alignment tools. In summary, we provide a snapshot for the recent advances in metagenomics approach for analyzing changes in the microbial communities in different ecosystems.</p>
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<tree><noCountry><name sortKey="Neelakanta, Girish" sort="Neelakanta, Girish" uniqKey="Neelakanta G" first="Girish" last="Neelakanta">Girish Neelakanta</name>
<name sortKey="Sultana, Hameeda" sort="Sultana, Hameeda" uniqKey="Sultana H" first="Hameeda" last="Sultana">Hameeda Sultana</name>
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